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MiniMax releases M3 large model: programming ability surpasses GPT-5.5, supports native multimodal desktop control
M3 is currently the only open-source large model that fully integrates the three cutting-edge elements: programming, ultra-long context, and native multimodality, with plans to open-source the weights within 10 days.
It achieves international leading levels in code generation, intelligent agents, and desktop control, available through MiniMax code, token plan, and API.
M3 pioneers a sparse attention architecture called MSA, which aggregates hits in the KV blocks to query, making memory access four times faster than Flash-sparse-attention.
With a context length of around one million, the new architecture reduces per-token computation to one-twentieth of the previous generation, achieving 9x faster pre-filling and 15x faster decoding.
On SWE-bench pro, M3 scored 59.0%, surpassing GPT-5.5 and Gemini 3.1 pro, approaching Opus 4.7.
In the Hopper-optimized FP8 operator task, it autonomously invoked tools 1,959 times within 24 hours, increasing hardware utilization from 7.6% to 71.3%, a 9.4x acceleration.
The API is now live, offering inference and fast modes, with weights planned to be open-sourced within 10 days.